Cloud-based non-invasive tele-rehabilitation exercise monitoring

Li,S and Pathirana,PN 2014, Cloud-based non-invasive tele-rehabilitation exercise monitoring, in IECBES 2014 : Proceedings of the IEEE Conference on Biomedical Engineering and Sciences, IEEE, Piscataway, N.J., pp. 1-6.

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Title Cloud-based non-invasive tele-rehabilitation exercise monitoring
Author(s) Li,S
Pathirana,PNORCID iD for Pathirana,PN orcid.org/0000-0001-8014-7798
Conference name Biomedical Engineering and Sciences. Conference (2014 : Salawak, Malaysia)
Conference location Salawak, Malaysia
Conference dates 2014/12/8 - 2014/12/10
Title of proceedings IECBES 2014 : Proceedings of the IEEE Conference on Biomedical Engineering and Sciences
Editor(s) [Unknown]
Publication date 2014
Conference series Biomedical Engineering and Sciences Conference
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Exercise based rehabilitation plays a vital role in the recovery of various conditions, such as stroke, Parkinson’s disease (PD), chronic pain, and so on. Recently, telerehabilitation has become increasingly popular quantitative nature in assessments particularly for systematic monitoring of progress as well as cost saving for the patients as well as for the health care sector at large. However, challenges do exist in implementing a distributed bio-feedback in a cost-effective and efficient way. In this paper, we present the associated conceptual framework of cloud-based tele-rehabilitation system employing affordable non-invasive Microsoft Kinect® allowing patients to perform rehabilitation exercises in non-clinical setting such as home environments without loosing the quality of patients care. More importantly, different from existing tele-rehabilitation systems, our system not only measures whether patients can perform rehabilitation tasks, but also how well they can finish the tasks. Preliminary experiments validate its potential in training healthy subject to perform exercise motions emulating the physical rehabilitation process.
Language eng
Field of Research 090305 Rehabilitation Engineering
090399 Biomedical Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE-EMBS
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069679

Document type: Conference Paper
Collection: School of Engineering
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